Advanced RF ML Engineer

Job Summary

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We are seeking an experienced Machine Learning Engineer to join our team in Poway, CA.

Duties and Responsibilities

• Exercises considerable latitude in determining technical objectives for the review, research, design, development, and/or solution to advanced technical engineering problems.
• Functions in a project leadership role, providing direction and development roadmap to experienced professional staff.
• Evaluates the integration of the engineering solution within the overall engineering environment; ensures appropriate documentation, testing, maintenance, and engineering updates are completed.
• Communicates with engineering professionals, solution users, and management throughout the solution development cycle, representing the company as a prime technical contact on contracts and/or projects, interacting with senior external personnel on technical matters requiring coordination between the organizations, and participating in the development of new or expansion of existing business.
• Determines technical objectives for solution(s) to advanced technical engineering problems.
• Represents the organization as a prime technical contact within and engineering team for assigned project(s)/program(s).
• Plans and coordinates the maintenance of engineering solutions including, documentation, reporting, publishing, and making technical and other presentations to ensure viability of the solution(s) in an evolving environment.
• Participates in or may lead the development of new or expansion of existing business opportunities.
• Maintains the strict confidentiality of sensitive information.
• Works in a safe manner in accordance with established operating procedures and practices.

Qualifications

• Typically requires a bachelor's, master's degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows:
• Five or more years of experience with a bachelor's degree or three or more years of experience with a master's degree. May substitute equivalent machine learning engineer experience in lieu of education.
• Demonstrates a detailed and extensive technical expertise and application of engineering principles, concepts, theory, and practice with the ability to organize, plan, schedule, conduct, and coordinate workloads to meet established deadlines or milestones with some experience in project leadership.
• Artificial Intelligence, Machine Learning, Radar, Image Processing, Data Engineering, Data Analyst, Perception.
• Experience with Data Science tools such as Python, Jupyter, Scikit, TensorFlow and PyTorch.
• Familiarity with standard data pipeline and MLOps concepts (frameworks, formats, labeling, databases and visualization).
• Understanding of Machine Learning algorithms and techniques for training and model optimization.
• Understanding of C++ and Object Oriented design.
• General understanding of robotics concepts (coordinate systems, kinematics, sensors and Perception techniques).
• Experience with the Linux command line.
• Ability to obtain and maintain a DOD security clearance required.